🍴 cutlery
This Python library provides word-/sentencepiece tokenizers. The following types of tokenizers are currenty supported:
| Tokenizer | Binding | Example model |
|---|---|---|
| BPE | sentencepiece | |
| Byte BPE | Native | RoBERTa/GPT-2 |
| Unigram | sentencepiece | XLM-RoBERTa |
| Wordpiece | Native | BERT |
⚠️ Warning: experimental package
This package is experimental and it is likely that the APIs will change in incompatible ways.
⏳ Install
Cutlery is availble through PyPI:
pip install cutlery
🚀 Quickstart
The best way to get started with cutlery is through the
curated-transformers
library. curated-transformers also provides functionality to load tokenization
models from Huggingface Hub.
Metadata
Release files for cutlery 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| cutlery-0.0.6.tar.gz | 2.2 MB | Without provenance | Details for cutlery-0.0.6.tar.gz |
Built distributions (wheels)
Total release size: 20.2 MB
Release files / cutlery-0.0.6.tar.gz
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| Tags | Source |
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Release files / cutlery-0.0.6-cp311-cp311-win_amd64.whl
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| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.9
|
Release files / cutlery-0.0.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | cutlery-0.0.6-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 665.9 kB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ ARM64 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.7.9
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Security for cutlery 0.0.6
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